如何使用多个正则表达式来清理pandas中的列内容？

import pandas as pd
import re

patterns = {
    r'\$': '',  # 删除美元符号
    r'\s+': ' ',  # 将多个连续空格替换为单个空格
    r'\d+': '[数字]',  # 将数字替换为占位符
    r'[^\x00-\x7F]+': ''  # 删除非ASCII字符
}

def clean_column(column):
    for pattern, replacement in patterns.items():
        column = column.str.replace(pattern, replacement)
    return column

data = pd.read_csv('data.csv')
columns_to_clean = ['column1', 'column2', 'column3']

data[columns_to_clean] = data[columns_to_clean].apply(clean_column)